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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

ames_house_price

Went through this house pricing predictions with various regression models, single, boosted and ensembles.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

fullstack-nanodegree-vm

glove

GloVe model for distributed word representation

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

intermediate-nlp

Intermediate Natural Language Processing: Real World Applications of Word Embeddings

pipeline_with_dag_on_hackernews

Write a pipeline prototype with a directional acyclic graph scheduler for multiple dependancy.

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pywinspec

Read SPE files created by WinSpec with Princeton Instruments' cameras. Uses ctypes.

stanfordcs224_nlp_deep_learning

Homework of Stanford CS224n_Python 3.6

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

titanic_with_knn_logisticreg_rfcla

Using the simple classical titanic dataset to explore the data cleaning work flow as well as comparison between three basic models: KNeighborsClassifier, LogisticRegressio and RandomForestClassifier with grid search